FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication
Summary: FEC uses embedding tiering and pre-fetching to cut embedding communication in EDRMs. AllReduce aggregates popular embeddings to mimic dense access; pre-fetching hides updates, delivering up to 6.65x embedding-communication and 2.42x throughput. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kaihao Ma (Chinese University of Hong Kong)
- 2. Xiao Yan (Southern University of Science and Technology)
- 3. Zhenkun Cai (Chinese University of Hong Kong)
- 4. Yuzhen Huang (Meta)
- 5. Yidi Wu (Meta)
- 6. James Cheng (Chinese University of Hong Kong; KASMA Pte. Ltd.)
BibTeX Citation
@inproceedings{ma_sigmod23,
title = {{FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication}},
author = {Ma, Kaihao and Yan, Xiao and Cai, Zhenkun and Huang, Yuzhen and Wu, Yidi and Cheng, James},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589310},
url = {https://dl.acm.org/doi/10.1145/3589310},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,907 | Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models | 2025 | SIGMOD | 5.3483178e-05 |
| 9,881 | The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format | 2024 | SIGMOD | 5.2040783e-05 |
| 10,752 | CARINA: An Efficient CXL-Oriented Embedding Serving System for Recommendation Models | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 785 | Middle-Tier Database Caching for e-Business | 2002 | SIGMOD | 0.00014068999 |
| 2,485 | HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework | 2022 | VLDB | 8.5145736e-05 |
| 2,688 | Accelerating Recommendation System Training by Leveraging Popular Choices | 2022 | VLDB | 8.2564305e-05 |
| 3,644 | CoroBase: Coroutine-Oriented Main-Memory Database Engine | 2021 | VLDB | 7.2306862e-05 |
| 5,083 | Automating Distributed Tiered Storage Management in Cluster Computing | 2020 | VLDB | 6.3701057e-05 |
| 5,214 | OctopusFS: A Distributed File System with Tiered Storage Management | 2017 | SIGMOD | 6.3129716e-05 |
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